Influence of Material Model on Prediction Accuracy of Welding Residual Stress in an Austenitic Stainless Steel Multi-pass Butt-Welded Joint
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Both experimental method and numerical simulation technology were employed to investigate welding residual stress distribution in a SUS304 steel multi-pass butt-welded joint in the current study. The main objective is to clarify the influence of strain hardening model and the yield strength of weld metal on prediction accuracy of welding residual stress. In the experiment, a SUS304 steel butt-welded joint with 17 passes was fabricated, and the welding residual stresses on both the upper and bottom surfaces of the middle cross section were measured. Meanwhile, based on ABAQUS Code, an advanced computational approach considering different plastic models as well as annealing effect was developed to simulate welding residual stress. In the simulations, the perfect plastic model, the isotropic strain hardening model, the kinematic strain hardening model and the mixed isotropic-kinematic strain hardening model were employed to calculate the welding residual stress distributions in the multi-pass butt-welded joint. In all plastic models with the consideration of strain hardening, the annealing effect was also taken into account. In addition, the influence of the yield strength of weld metal on the simulation result of residual stress was also investigated numerically. The conclusions drawn by this work will be helpful in predicting welding residual stresses of austenitic stainless steel welded structures used in nuclear power plants.
Keywordsannealing effect finite element analysis plastic model residual stress strain hardening
This research was supported by National Natural Science Foundation of China [Project No. 51275544], and the Graduate Scientific Research and Innovation Foundation of Chongqing, China [Grant No. CYB16017]. The experimental results of residual stress were provided by JNES.
- 1.A. Hinojos, J. Mireles, A. Reichardt, P. Frigola, P. Hosemann, and L.E. Murr, Joining of Inconel 718 and 316 Stainless Steel Using Electron Beam Melting Additive Manufacturing Technology, Mater. Des., 2016, 94, p 17–27Google Scholar
- 14.D. Qiao, W. Zhang, Z. Feng, High-Temperature Constitutive Behavior of Austenitic Stainless Steel for Weld Residual Stress Modeling. ASME 2012 Pressure Vessels and Piping Conference, American Society of Mechanical Engineers. (2012) pp. 1229–1236Google Scholar
- 21.O. Muránsky, M.C. Smith, P.J. Bendeich, T.M. Holden, V. Luzin, R.V. Martins, and L. Edwards, Comprehensive Numerical Analysis of a Three-Pass Bead-in-Slot Weld and Its Critical Validation Using Neutron and Synchrotron Diffraction Residual Stress Measurements, Int. J. Solids Struct., 2012, 49, p 1045–1062CrossRefGoogle Scholar
- 24.Dean Deng and Kiyoshima Shoichi, Influence of Annealing Temperature on Calculation Accuracy of Welding Residual in a SUS304 Stainless Steel Joint, Acta Metall. Sin., 2014, 05, p 626–632Google Scholar
- 28.ABAQUS/Standard User’s Manuals, volumes 1, 2, 3 and 4, Version 6.7, SIMULIA, 2007Google Scholar
- 35.JIS Z3111-2005, Methods of Tension and Impact Tests for Deposited Metal[S], Japanese Standards Association, Tokyo, 2005Google Scholar